The Thirteenth International Workshop on Multimedia Data Mining (MDMKDD 2013)

August 11, 2013 (Sunday)
Chicago, USA

Workshop website: https://sites.google.com/site/mdmkdd2013chicago/home

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The MDMKDD 2013 workshop is in conjunction with the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2013).

Important Dates:
Submission Deadline: May 24, 2013 (Friday)
Acceptance Notification: June 16, 2013 (Sunday)
Camera-ready Due: June 28, 2013 (Friday)

Paper submission and reviewing will be handled electronically. Authors should consult the workshop website for full details regarding the guidelines on paper preparation and submission:
https://sites.google.com/site/mdmkdd2013chicago/submission-instructions

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Workshop Theme and Topics:

The theme of the MDMKDD 2013 workshop is "mining large-scale rich content in a networked society." Vast amount of multimedia are produced, shared, and accessed everyday in various social platforms. These multimedia objects (images, videos, texts, tags, etc.) represent rich, multi-faceted recordings of human behavior in the networked society, which lead to a range of social applications such as, (a) consumer behavior forecasting and social-driven advertising / business, (b) local knowledge discovery (e.g., for tourism or shopping), and (c) detection of emergent news events and trends, and so on. In addition to techniques for mining single-modality media items, all these applications require new methods for discovering robust features and meaningful relationships among the content of different media modalities and users, in a dynamic, social context-rich, and likely noisy environment.

Mobile devices with multimedia sensors, such as cameras and geo-location sensors, have further integrated multimedia into people's daily life. New features, algorithms, and applications for mining the multimedia data collected on mobile devices can make these data of multiple modalities (image, video, geo, mobile data, etc.) accessible and useful in people?s daily life. Examples of such applications include (a) personal assistants, (b) augmented reality, (c) social applications, (d) entertainment, and so on.

In addition to the research themes mentioned above, this workshop also welcomes submissions on various research topics of multimedia data mining, include but are not limited to the following:

* Measurement of relevance and user engagement in social media retrieval.
* Evaluation framework for the quality of rich-content mining algorithms.
* Emerging technology of multimedia data mining for mobile applications.
* Emergent semantics analysis and topic detection from inter-related multimedia objects.
* Social-based business leveraging multimedia (e.g., social graph mining, social tagging, etc.).
* Data mining for location-enhanced services (e.g., maps, navigation and GIS systems).
* Fusion of multimedia features, metadata, user-generated content, and social context.
* Scalable or real-time architecture for large-scale media content processing and mining (e.g., parallel computing, big data engineering, etc.).
* Multimedia data mining across platforms, including web and mobile devices.
* Scalable mobile multimedia computing (e.g., visual search, etc.).
* Predictive and prescriptive multimedia data modeling.
* Anomaly and outlier detection in multimedia databases.
* Mining and modeling multimodal time series.
* Security and privacy management of multimedia objects.
* Human-computer interfaces for multimedia data mining.

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Formatting Requirements for Submitted Papers:

The paper submission site for MDMKDD 2013 is: https://cmt.research.microsoft.com/MDM2013/

All submissions must be in PDF format and must not exceed 10MB in size. Papers should be no more than 9 pages total in length. The format is the standard double-column ACM Proceedings Style. Additional information about formatting and style files are available online at:
http://www.acm.org/sigs/publications/proceedings-templates

Papers that do not meet the formatting requirements will be rejected.

For accepted papers, authors will have the opportunity to revise their papers in response to the reviewers before final submission for publication in the proceedings.

Software demonstrations are welcome. We encourage submissions of "greenhouse" work, which present early stages of cutting-edge research and development.

Papers accepted for presentation at the workshop will be published in the workshop proceedings and at the ACM digital library. For additional information on formatting, please see:
http://www.kdd.org/kdd2013/author-instructions-research-track.

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Workshop Co-Chairs:

* Aaron Baughman (aaron.baughman@gmail.com), IBM Research Department
* Yu-Ru Lin (yuruliny@gmail.com), Northeastern University
* Vincent Oria (vincent.oria@njit.edu), New Jersey Institute of Technology
* Jiang (John) Gao (gao.new@gmail.com), Nokia USA
* Jia-Yu (Tim) Pan (jiayu.pan@gmail.com), Google USA